Home Specialist skills Artificial Intelligence Deep Learning AI Techniques for Executives, Developers and Managers
Deep Learning AI Techniques for Executives, Developers and Managers
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Executives will be able to develop an overview of AI and how it fits into corporate strategy, with breakout sessions on strategic planning, technology roadmaps, and resource allocation to ensure maximum value.
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Project Managers will be able to plan out an AI project, including data gathering and evaluation, data cleanup and verification, development of a proof-of-concept model, integration into business processes, and delivery across the organization.
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Developers will be able to recognise neural networks and deep learning, image and video analytics (CNNs), sound and text analytics (NLP), and bring AI into existing applications through in-depth technical trainings.
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Salespeople will be able to effectively communicate and provide a general overview of AI and how it can satisfy customer needs, value propositions for various products and services, and how to allay fears and promote the benefits of AI
Overview
Off the shelf (OTS)
Deep learning is becoming a principal component of future product design that wants to incorporate artificial intelligence at the heart of
their models. Within the next 5 to 10 years, deep learning development tools, libraries, and languages will become standard components of every software development toolkit. So far Google, Sales Force, Facebook, Amazon have been successfully using deep learning AI to boost their business. Applications ranged from automatic machine translation, image analytics, video analytics, motion analytics, generating targeted advertisement and many more.
This course is aimed for those organizations who want to incorporate Deep Learning as very important part of their product or service strategy. Below is the outline of the deep learning course which we can customize for different levels of employees/stakeholders in an organization.
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Delivery method
Face to face
Virtual
Course duration
21 hours
Competency level
Working
Delivery method
-
Face to face
-
Virtual
Course duration
21 hours
Competency level
-
Working
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